1595 search results - page 115 / 319 » A hierarchical clustering algorithm based on the Hungarian m... |
190
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SDM
2008
SIAM
15 years 7 months ago
2008
SIAM
Maximum margin clustering (MMC) is a recently proposed clustering method, which extends the theory of support vector machine to the unsupervised scenario and aims at finding the m...
178
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HCI
2007
15 years 7 months ago
2007
Efficient and effective analysis of large datasets from microarray gene expression data is one of the keys to time-critical personalized medicine. The issue we address here is the ...
167
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ISNN
2010
Springer
15 years 4 months ago
2010
Springer
As practical pattern classification tasks are often very-large scale and serious imbalance such as patent classification, using traditional pattern classification techniques in ...
151
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ICTAI
2009
IEEE
16 years 1 months ago
2009
IEEE
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
178
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KDD
2010
ACM
15 years 10 months ago
2010
ACM
Periodicity is a frequently happening phenomenon for moving objects. Finding periodic behaviors is essential to understanding object movements. However, periodic behaviors could b...